Japanese NER with Transformers + PyTorch-Lightning + MLflow Tracking

• build: docker build -t trf-ner-ja-train .
• run: docker run --rm --gpus all -v /where/to/workspace:/app/workspace trf-ner-ja-train
  • NOTE: set export GPUS=1 in run_ner.sh

• build: docker-compose build
• run: docker-compose up
  • NOTE: check ./workspace/mlruns/0/xxx is created for each runs
  • NOTE: GPU support in docker-compose will be released in 1.28.0: See. docker/compose#7929
• view: open http://localhost:5000/ in your browser